How can you avoid hallucinations when using a large language model?
本练习是课程的一部分
通过我们的互动练习之一，将理论转化为实践
This section welcomes learners to the Google Cloud Fundamentals: Core Infrastructure course, and provides an overview of the course structure and goals.
This section identifies some of the key benefits of using Google Cloud. It's here that we introduce the components of the Google network infrastructure, and explore the differences between infrastructure as a service (IaaS) and platform as a service (PaaS).
This section explores how resources get organized with projects, and how access to those resources gets shared with the right part of a workforce through a tool called Identity and Access Management (IAM). It's also in this section that we identify different ways to interact with Google Cloud.
This section of the course explores how Google Compute Engine works, with a focus on virtual networking.
This section of the course showcases five core Google Cloud storage products: Cloud Storage, Bigtable, Cloud SQL, Spanner, and Firestore.
This section of the course explores containers and how they can be managed with Kubernetes and Google Kubernetes Engine.
The focus of this section of the course is developing applications in the cloud. It's here that we'll explore Cloud Run and Cloud Run functions.
This section looks at generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
当前练习
In this final section, we review what was presented in this course and discuss the next steps to continue your cloud learning journey.
